ResearchResearch paperReinforcement Learning · Large Language Models · Training & Scaling1 source · Oct 22, 2026

Perplexity and NVIDIA Researchers Introduce JOLT: a Joint Teacher-Student Reinforcement Learning Method

Perplexity, along with NVIDIA team, has introduced JOLT, a new post-training method for language models.

Proof1 independent outlet

Key points

  • JOLT stands for Joint On-policy Learning and Teaching.
  • On MATH, JOLT matched GRPO’s accuracy with 6.5x fewer processed training tokens.
  • What it is: a post-training method.
  • JOLT is a self-distillation method from Perplexity and NVIDIA that trains one model as teacher and student.

Sources (1)

Extractive summary: sentences quoted from the sources.

Before this

  1. Oct 21, 2026Recursive shows first result of its AI-driven research process with Flint
  2. Oct 21, 2026Mistral Advances AI for Engineering with NVIDIA
  3. Oct 20, 2026Fine-tuning GPT-OSS-20B for multilingual reasoning on Amazon SageMaker HyperPod
  4. Oct 20, 2026Voxtral 3
  5. Oct 20, 2026[AINews] DeepSeek DeepInfer: Open Source SOTA Inference running 155T toks/day/cluster making $22m/day at ~80% margin for a 81 day payback
  6. Oct 20, 2026Self-Evolving Agents through Privileged Retrospective Distillation

Related